Investigation on Evolutionary Computation Techniques of a Nonlinear System. (29th November 2011)

• Record Type: Journal Article
• Authors: Dao, Tran Trong
• Other Names: Rabelo Luis Carlos Academic Editor.
• Is Part Of: Modelling and simulation in engineering. Volume 2011(2011)
• Publication Date: 2011-11-29
• Subjects: Engineering -- Simulation methods -- Periodicals; Engineering -- Mathematical models -- Periodicals; 620.004
• DOI: 10.1155/2011/496732
• Languages: English
• ISSNs: 1687-5591

Abstract

Abstract : The main aim of this work is to show that such a powerful optimizing tool like evolutionary algorithms (EAs) can be in reality used for the simulation and optimization of a nonlinear system. A nonlinear mathematical model is required to describe the dynamic behaviour of batch process; this justifies the use of evolutionary method of the EAs to deal with this process. Four algorithms from the field of artificial intelligent—differential evolution (DE), self-organizing migrating algorithm (SOMA), genetic algorithm (GA), and simulated annealing (SA)—are used in this investigation. The results show that EAs are used successfully in the process optimization.